HiPOP

High Performance Optimal Path module

Description

HiPOP is the C++ graph library used by MnMS. It is composed of:

  • a C++ core library implementing a graph data-structure and several shortest path search algorithms,
  • a Python wrapper exposing the C++ classes and functions to the Python world.

Install HiPOP

Install prebuilt distribution

This is the recommended (and most simple!) method to install HiPOP: a prebuilt distribution adapted to your Python version and OS / system architecture is downloaded from PyPI.

pip install hipop

This installation method requires your OS / system architecture to be one of these:

  • Windows on x86_64 architecture (i.e. Intel/AMD CPU)
  • Linux on x86_64 architecture (i.e. Intel/AMD CPU)
  • MacOS (≥ 14 Sonoma) on ARM64 architecture (i.e. Apple M* CPU)

The exact list of prebuilt distributions is available on https://pypi.org/project/HiPOP/#files. If none of them matches your environment, please contact the package maintainers, or try the local build installation method.

Install from local build

This method requires the following components to be available on your system:

Then, here is the local build install procedure:

  1. Download the latest HiPOP sources from https://github.com/EMob-Lab/HiPOP/archive/refs/heads/main.zip or by cloning the git repository:

    git clone https://github.com/EMob-Lab/HiPOP.git

  2. From the root directory of the HiPOP sources:

    pip install .

# Optionally, to run the tests:
pip install --group dev
pytest

Remarks:

  • The --group <group-name> option requires pip ≥ 25.1. If you have an older version, the install command above will fail with an error message such as no such option: --group. In this case, try to upgrade pip beforehand with:

    pip install --upgrade pip

    Alternatively, install the test runner pytest manually (or skip the optional test running step).

  • Editable install mode can be used. The install command then becomes:

    pip install --group dev --editable .

    Please note that using the --group dev option (or equivalent, to install the dev dependencies) is mandatory for HiPOP editable installs.

  • If you don't have the prerequisite C++/OpenMP/CMake components available on your system, but you have Conda available, a Conda environment with these components is provided with the HiPOP sources. Install and activate it with:

    conda create -f conda/env.yaml
conda activate hipop-dev

    Please note that the use of this Conda environment is optional. HiPOP can be used with regular (non-Conda) set-ups.

  • If you are using MacOS and the Apple Clang C++ compiler, please note that OpenMP may not be available by default. You may install it with:

    brew install libomp
OpenMP_ROOT=$(brew --prefix libomp)

    Alternatively, you may also use the Conda environment provided with the HiPOP sources (cf. previous remark).

Install the C++ core library only (from local build)

This installation procedure allows you to build locally and install only the HiPOP C++ core library. The Python wrapper is neither built nor installed here. This procedure is intended for advanced users.

For this procedure, same requirements as mentioned in the previous section in terms of C++/OpenMP/CMake components. However, you don't need to have Python installed on your system.

Then, from the root directory of the HiPOP sources:

mkdir build
cd build
cmake .. -DCMAKE_INSTALL_PREFIX=<install-directory>
make
make test    # Optionally, to run the tests
make install

... where <install-directory> is the path to the location where you want to install HiPOP.

Project links

Data verified by PyPI on Sep 7, 2026
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Key dates

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  • Released:
Latest release

1 maintainer

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Avatar for cec_b from gravatar.com cec_b

Credits

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Maintainer: Cécile Becarie

GitHub Statistics

Data verified by PyPI on Sep 7, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

LGPL-3.0-only
View SPDX License List

Requires

Python >=3.10

Tags

graph graph-theory shortest-path dijkstra

Classifiers

Report project as malware

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The following attestation bundles were made for hipop-1.1.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

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The following attestation bundles were made for hipop-1.1.0-cp310-cp310-macosx_14_0_arm64.whl:

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